Appear as anyone in video calls like zoom or Google meets

Hacker News

Hey everyone! i built this free tool that basically let you appear as literally anyone in video calls. it uses the latest tech in audio driven portrait animation. Would love to have some people test this out and let me know what you think! It's currently available on ubuntu systems. it works best with 4070 or 3080 gpus and up! basically anything with about 30TFLOPS on fp16. It runs totally on your device for 100% privacy too. Just looking for people to test this out and let me know what they think! You can download it at https://www.phazr.ai/

Visit product View on Hacker NewsMar 29, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, google · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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